Arons Abigail R O, Pacca Lucia, Jacobs David R, Vable Anusha, Schillinger Dean
Division of General Internal Medicine at Zuckerberg San Francisco General, Department of Medicine, University of California, San Francisco.
Division of General Pediatrics, Department of Pediatrics, University of California, San Francisco.
JAMA Netw Open. 2025 Jun 2;8(6):e2517455. doi: 10.1001/jamanetworkopen.2025.17455.
Type 2 diabetes prevalence is increasing, and currently 24% of young adults have prediabetes. Little is known regarding timing and progression from normoglycemia to diabetes starting in young adulthood.
To examine glycemic trajectories from young adulthood through middle age.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study used sequence analysis to identify patterns of glycemic trajectories across 30 years in the Coronary Artery Risk Development in Young Adults (CARDIA) study, a large, diverse, population-based cohort of young adults from 4 national community sites with repeated measures of fasting plasma glucose (FPG). Sequence analysis reduces the various glycemic trajectories that individuals may follow over time into common trajectory clusters. The CARDIA study enrolled adults aged 18 to 30 years from 1985 to 1986, with groups balanced on Black and White race, sex, age, and educational level. Data through year 30 (2015-2016) were used, excluding participants with baseline diabetes, those missing the first 2 FPG values, and those missing 6 or more FPG values. Data analysis was performed from July 2023 to October 2024.
Clusters of common glycemic trajectory patterns.
Among the 4684 study participants (2553 [54.5%] female), 1278 unique glycemic trajectories were identified across 30 years. A total of 3420 participants (73.0%) had trajectories classifiable into 9 common patterns of glycemic trajectory: stable normoglycemia; 5 patterns of impaired fasting glucose (IFG) not progressing to diabetes, including a brief period of low IFG regressing to normoglycemia at younger (mean [SD] age at IFG, 35.9 [6.6] years) and older ages (mean [SD] age at IFG, 46.8 [3.7] years), younger-onset sustained IFG (mean [SD] age at IFG, 38.6 [5.0] years), older-onset sustained low IFG (mean [SD] age at IFG, 51.7 [5.1] years), and older-onset sustained high IFG (mean [SD] age at IFG, 41.9 [8.8] years); and 3 patterns of diabetes, including young onset (mean [SD] age at diabetes, 34.8 [3.6] years), middle-age onset (mean [SD] age at diabetes, 43.6 [4.4] years), and older onset (mean [SD] age at diabetes, 52.4 [3.8] years).
This cohort study revealed substantial heterogeneity in glycemic trajectories across 30 years of follow-up. Clusters that represented IFG during young adulthood did not demonstrate progression to diabetes, and clusters that represented diabetes lacked prior IFG during young adulthood. These data suggest the need for strategies beyond simply screening for IFG during young adulthood to identify and target diabetes prevention for young adults.
2型糖尿病患病率正在上升,目前24%的年轻人患有糖尿病前期。对于从青年期开始的血糖正常到糖尿病的时间和进展情况,人们了解甚少。
研究从青年期到中年期的血糖轨迹。
设计、背景和参与者:这项队列研究使用序列分析来识别青年动脉粥样硬化风险发展研究(CARDIA研究)中30年间的血糖轨迹模式。该研究是一项来自4个全国社区地点的大型、多样化、基于人群的青年成年人队列,对空腹血糖(FPG)进行了重复测量。序列分析将个体随时间可能遵循的各种血糖轨迹简化为常见的轨迹簇。CARDIA研究在1985年至1986年招募了18至30岁的成年人,各群体在黑人和白人种族、性别、年龄和教育水平上保持平衡。使用了截至第30年(2015 - 2016年)的数据,排除了基线时患有糖尿病的参与者、缺失前两个FPG值的参与者以及缺失6个或更多FPG值的参与者。数据分析于2023年7月至2024年10月进行。
常见血糖轨迹模式的簇。
在4684名研究参与者(2553名[54.5%]为女性)中,30年间共识别出1278条独特的血糖轨迹。共有3420名参与者(73.0%)的轨迹可分为9种常见的血糖轨迹模式:稳定的血糖正常;5种空腹血糖受损(IFG)未进展为糖尿病的模式,包括在较年轻时(IFG时的平均[标准差]年龄为35.9[6.6]岁)和较年长时(IFG时的平均[标准差]年龄为46.8[3.7]岁)有一段短暂的低IFG后回归到血糖正常的模式、较年轻发病的持续性IFG(IFG时的平均[标准差]年龄为38.6[5.0]岁)、较年长发病的持续性低IFG(IFG时的平均[标准差]年龄为51.7[5.1]岁)以及较年长发病的持续性高IFG(IFG时的平均[标准差]年龄为41.9[8.8]岁);以及3种糖尿病模式,包括年轻时发病(糖尿病时的平均[标准差]年龄为34.8[3.6]岁)、中年时发病(糖尿病时的平均[标准差]年龄为43.6[4.4]岁)和老年时发病(糖尿病时的平均[标准差]年龄为52.4[3.8]岁)。
这项队列研究揭示了30年随访期间血糖轨迹存在显著异质性。代表青年期IFG的簇未显示进展为糖尿病,而代表糖尿病的簇在青年期缺乏先前的IFG。这些数据表明,除了在青年期简单筛查IFG之外,还需要其他策略来识别和针对青年糖尿病预防。